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mlrl-boomer

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

mlrl-common

Provides common modules to be used by different types of multi-label rule learning algorithms

mlrl-seco

A scikit-learn implementation of a Separate-and-Conquer (SeCo) multi-label rule learning algorithm

xgboostlss

An extension of XGBoost to probabilistic modelling

mlrl-util

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

mlrl-testbed

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

mlrl-testbed-arff

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

mlrl-testbed-sklearn

Adds support for the scikit-learn framework to the package "mlrl-testbed"

scikit-physlearn

A machine learning library for regression.

mlrl-testbed-slurm

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

amorf

A Multi-Output Regression Framework in Python